Hugging Face engineer builds 7 small models with ML Intern for about USD 103

Hugging Face 工程师用 ML Intern 以约 103 美元自制 7 个小模型

A Hugging Face engineer used ML Intern to build seven small models, with CPU and GPU job costs totaling about USD 103. The projects cover citrus disease detection, image LoRA, prompt rewriting and distillation from an image model. Pocket Rewriter 0.8B runs on CPU with a 99.7% effective output rate.

Why it matters: The engineer wrote baseline evals, pre-training smoke tests and a budget cap into the ML Intern prompt, splitting training into checkable steps.